We consider results of development digital transformation technologies for risk management in natural-industrial systems within environmental economy while climate change. In research, we used: Foresight technologies, theory of decision making under uncertainties, risk management approach, methods of data bases constructing in case of digital risk management platforms. Analysis shows that the ways of risk management for natural-industrial systems while climate change within environmental economy have distinct features of digital transformation, due to new concepts of obtaining and presenting data. Preference is given to the use of digital risk management platforms, which integrate heterogeneous hardware and software resources with the use of web-technologies in distributed networks and wide application of cloud services. As base model for risk management, we proposed to use block diagram of geo-information support decision within in environmental economy while climate change. The proposed basic model allows direct assessment of the environmental monitoring cost impact on the overall business profit. We consider examples of different digital risk management platforms for natural-industrial systems that authors constructed. While research, we used platform https://www.researchgate.net/profile/Valery_Abramov2/ for preliminary data exchange and discussion.
The paper is devoted to the analysis of modern problems in assessment of hydraulic resistance. The obtained formulas for calculating the roughness coefficients and other interrelated hydraulic parameters of the channel are given. As a determining factor for the systemic characteristics of flows, N.A. Rzhanitsyn used the average long-term and average maximum water discharges, and the authors of this work proposed the use of these characteristics in accordance with the watershed area A in km2 of the subsequently derived dependences for unexplored rivers. Thanks to this approach, it became possible to obtain information by cartographic methods. Direct approximation of these data gives an expression for the flow order. The formulas obtained can be used to calculate the hydraulic characteristics of lowland rivers. For the European territory of Russia, the formulas have been tested using independent field information. However, the authors believe that the formulas will successfully work for other even lands as well. The formulas are simple and easy to calculate using software. In the future, it is planned to use specialized software for processing calculations and use the obtained results in the geographic information system.
In article, there are presented digital tools development results for geo-information support to seaports activity within Industry 4.0 period, when while climate change and covid-19 pandemic. In study, there are used methods of data bases constructing, web-technologies and virtual reality tools. Also, there are used Foresight technologies, theory of decision making under uncertainties and risk management. As digital tools, there is proposed to use digital online platforms, which integrate heterogeneous hardware and software resources with the use of web-technologies in distributed networks and wide application of cloud services. In study, there are used data bases and tools of geo-information digital online platform EOS, including its Land Viewer product. As study result, there is demonstrated usage of geo-information support system for Russian seaport Ust-Luga. The research results presented in this article has significant scientific novelty and can be useful for private investors, public environmental organizations of the civil sector and state environmental control bodies.
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